A machine learning approach to detect diabetic retinopathy using convolutional neural network

MMH Chowdhury, NTA Meem - Proceedings of International Joint …, 2020 - Springer
In this paper, we present a machine learning approach to detect diabetic retinopathy from
retinal images which is one of the most common diseases among diabetic patient. In our …

DRAODM: Diabetic retinopathy analysis through optimized deep learning with multi support vector machine for classification

E Bhatti, P Kaur - Recent Trends in Image Processing and Pattern …, 2019 - Springer
Diabetic retinopathy (DR) is the leading cause of avertable blindness globally. Retinal
scanning of eyes is critical for examining the disease at an early stage. The concern of this …

[PDF][PDF] A novel approach for optic disc detection in RGB retinal fundus images

RA Kamil, KH Al-Saedi, RJ Al-Azawi - Int. J. Sci. Res, 2017 - researchgate.net
Medical imaging of blood vessels helps assistant ophthalmologists see the interior parts
easily, diagnose, treat diseases, and detect abnormalities, such as diabetic retinopathy …

AI Based Automated Detection & Classification of Diabetic Retinopathy

P Maity, C Chakravorty - 2023 7th International Conference on …, 2023 - ieeexplore.ieee.org
Diabetic eye disease poses a significant threat to vision, affecting those with diabetes and
potentially leading to blindness if left undetected. To tackle this issue, recent progress in …

[PDF][PDF] Automatic diabetic retinopathy detection using deep learning mechanism

M Scholar - academia.edu
Diabetes retinopathy describes retinal disease which influenced by diabetes on the eyes.
The fundamental danger of the disease can prompt visual impairment. Location the disease …